Hot Spot Analysis using the Getis-Ord Gi* statistic is a spatial statistical method used to identify statistically significant clusters (hot spots or cold spots) of high or low values in geographic data. This technique helps determine areas where a phenomenon (e.g., restroom accessibility) is unusually concentrated or sparse.
The map identifies significant hot spots (red areas) for restroom density, particularly concentrated in Manhattan, indicating clusters of high restroom accessibility in these ZIP codes.
Neutral areas (light colors) suggest no significant clustering, reflecting average restroom accessibility levels across parts of Queens, Brooklyn, and the Bronx.
Cold spots or areas with no data (gray) are observed in regions like Staten Island and some peripheral areas, highlighting gaps in restroom density or missing data requiring further investigation.
| Station Name | Line | Latitude | Longitude | Min Distance to Restroom (m) |
|---|---|---|---|---|
| 25th St | 4 Avenue | 40.66 | -74 | 735.12 |
| 25th St | 4 Avenue | 40.66 | -74 | 755.05 |
| 36th St | 4 Avenue | 40.66 | -74 | 758.19 |
| 36th St | 4 Avenue | 40.66 | -74 | 746.95 |
| 36th St | 4 Avenue | 40.66 | -74 | 779.93 |
There are 272 stations without restrooms within 500m.
This interactive map displays the locations of restrooms and subway stations. You can explore the map by toggling layers for restrooms, subway stations, underserved stations, and Getis-Ord Gi* results, zooming in and out, and hovering over icons to view detailed information about the name and location of restrooms and stations.